Version 1
: Received: 8 May 2019 / Approved: 10 May 2019 / Online: 10 May 2019 (11:05:44 CEST)
How to cite:
Shamshirband, S.; Mosavi, A.; Rabczuk, T. Particle Swarm Optimization model to Predict Scour Depth around Bridge Pier. Preprints2019, 2019050121. https://doi.org/10.20944/preprints201905.0121.v1
Shamshirband, S.; Mosavi, A.; Rabczuk, T. Particle Swarm Optimization model to Predict Scour Depth around Bridge Pier. Preprints 2019, 2019050121. https://doi.org/10.20944/preprints201905.0121.v1
Shamshirband, S.; Mosavi, A.; Rabczuk, T. Particle Swarm Optimization model to Predict Scour Depth around Bridge Pier. Preprints2019, 2019050121. https://doi.org/10.20944/preprints201905.0121.v1
APA Style
Shamshirband, S., Mosavi, A., & Rabczuk, T. (2019). Particle Swarm Optimization model to Predict Scour Depth around Bridge Pier. Preprints. https://doi.org/10.20944/preprints201905.0121.v1
Chicago/Turabian Style
Shamshirband, S., Amir Mosavi and Timon Rabczuk. 2019 "Particle Swarm Optimization model to Predict Scour Depth around Bridge Pier" Preprints. https://doi.org/10.20944/preprints201905.0121.v1
Abstract
Scour depth around bridge piers plays a vital role in the safety and stability of the bridges. Existing methods to predict scour depth are mainly based on regression models or black box models in which the first one lacks enough accuracy while the later one does not provide a clear mathematical expression to easily employ it for other situations or cases. Therefore, this paper aims to develop new equations using particle swarm optimization as a metaheuristic approach to predict scour depth around bridge piers. To improve the efficiency of the proposed model, individual equations are derived for laboratory and field data. Moreover, sensitivity analysis is conducted to achieve the most effective parameters in the estimation of scour depth for both experimental and filed data sets. Comparing the results of the proposed model with those of existing regression-based equations reveal the superiority of the proposed method in terms of accuracy and uncertainty. Moreover, the ratio of pier width to flow depth and ratio of d50 (mean particle diameter) to flow depth for the laboratory and field data were recognized as the most effective parameters, respectively. The derived equations can be used as a suitable proxy to estimate scour depth in both experimental and prototype scales.
Keywords
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Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
